Evidence map›Paper›PMID 41220494›Full record

ReviewJMA journal2025

A Scoping Review on the Prevalence of Potentially Inappropriate Medication and Polypharmacy among Older People in a Lower-middle Income Country.

Anjan Khadka, Arjun Poudel, Shakti Shrestha

Abstract readReview
In one paragraph

Review in JMA journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Anjan KhadkaDepartment of Pharmacology, Nepalese Army Institute of Health Sciences, Kathmandu, Nepal.
Arjun PoudelSchool of Clinical Sciences, Queensland University of Technology, Brisbane, Australia.
Shakti ShresthaSchool of Pharmacy and Pharmaceutical Sciences, The University of Queensland, Brisbane, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been an increase in the number of older populations globally leading to a higher likelihood of multi-morbidities necessitating the use of multiple medications. This often poses the risk of potentially inappropriate medications (PIMs) and polypharmacy among older adults, but their data in the Nepalese context are lacking. This scoping review aimed to examine the published literature regarding the use of PIMs and polypharmacy in older people in Nepal. A literature search was conducted using three databases: PubMed, Embase, and Google Scholar. Articles published in English from 2011 to 2024 were retrieved for analysis to identify studies from Nepal, including the prevalence of PIMs and polypharmacy in older people aged ≥60 years. Studies were screened using Covidence (a web-based platform to perform reviews) and data were extracted using a specially designed form. The average values of the prevalence of PIMs and polypharmacy were derived from the selected studies. Seven articles involving 2341 older adults were included. The overall prevalence rates of PIMs and polypharmacy were 28.5% and 39.48%, respectively. Regional representation from Nepal included four studies from central Nepal and one each from western and eastern Nepal. The most common PIMs were benzodiazepines and non-steroidal anti-inflammatory drugs. PIM usage and polypharmacy are widely prevalent in Nepal. Hence, it is imperative to undertake effective measures to promote rational prescription practices for the geriatric population in Nepal.

Indexed as

ageddrug utilization reviewinappropriate prescribingNepalpolypharmacyprevalence

Identifiers

PMID41220494
PMCPMC12598275

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.